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    <body class="bg-black text-gray-200">
        <header class="bg-zinc-950 text-white py-4 flex">
            <div class="mx-auto px-4">
                <h1 class="text-2xl font-bold">🔥🕷️ Crawl4AI: Web Data for your Thoughts</h1>
            </div>
            <div class="mx-auto px-4 flex font-bold text-xl gap-2">
                <span>📊 Total Website Processed</span>
                <span id="total-count" class="text-lime-400">2</span>
            </div>
        </header>

        <section class="try-it py-8 px-16 pb-20">
            <div class="container mx-auto px-4">
                <h2 class="text-2xl font-bold mb-4">Try It Now</h2>
                <div class="grid grid-cols-1 lg:grid-cols-3 gap-4">
                    <div class="space-y-4">
                        <div class="flex flex-col">
                            <label for="url-input" class="text-lime-500 font-bold text-xs">URL(s)</label>
                            <input
                                type="text"
                                id="url-input"
                                value="https://www.nbcnews.com/business"
                                class="border border-zinc-700 rounded px-4 py-0 bg-zinc-900 text-lime-500"
                                placeholder="Enter URL(s) separated by commas"
                            />
                        </div>
                        <div class="flex flex-col">
                            <label for="threshold" class="text-lime-500 font-bold text-xs">Min Words Threshold</label>
                            <select
                                id="threshold"
                                class="border border-zinc-700 rounded px-4 py-0 bg-zinc-900 text-lime-500"
                            >
                                <option value="5">5</option>
                                <option value="10" selected>10</option>
                                <option value="15">15</option>
                                <option value="20">20</option>
                                <option value="25">25</option>
                            </select>
                        </div>
                        <div class="flex flex-col">
                            <label for="css-selector" class="text-lime-500 font-bold text-xs">CSS Selector</label>
                            <input
                                type="text"
                                id="css-selector"
                                class="border border-zinc-700 rounded px-4 py-0 bg-zinc-900 text-lime-500"
                                placeholder="Enter CSS Selector"
                            />
                        </div>
                        <div class="flex flex-col">
                            <label for="extraction-strategy-select" class="text-lime-500 font-bold text-xs"
                                >Extraction Strategy</label
                            >
                            <select
                                id="extraction-strategy-select"
                                class="border border-zinc-700 rounded px-4 py-1 bg-zinc-900 text-lime-500"
                            >
                                <option value="CosineStrategy">CosineStrategy</option>
                                <option value="LLMExtractionStrategy">LLMExtractionStrategy</option>
                                <option value="NoExtractionStrategy">NoExtractionStrategy</option>
                            </select>
                        </div>
                        <div class="flex flex-col">
                            <label for="chunking-strategy-select" class="text-lime-500 font-bold text-xs"
                                >Chunking Strategy</label
                            >
                            <select
                                id="chunking-strategy-select"
                                class="border border-zinc-700 rounded px-4 py-1 bg-zinc-900 text-lime-500"
                            >
                                <option value="RegexChunking">RegexChunking</option>
                                <option value="NlpSentenceChunking">NlpSentenceChunking</option>
                                <option value="TopicSegmentationChunking">TopicSegmentationChunking</option>
                                <option value="FixedLengthWordChunking">FixedLengthWordChunking</option>
                                <option value="SlidingWindowChunking">SlidingWindowChunking</option>
                            </select>
                        </div>
                        <div class="flex flex-col">
                            <label for="provider-model-select" class="text-lime-500 font-bold text-xs"
                                >Provider Model</label
                            >
                            <select
                                id="provider-model-select"
                                class="border border-zinc-700 rounded px-4 py-0 bg-zinc-900 text-lime-500"
                                disabled
                            >
                                <option value="groq/llama3-70b-8192">groq/llama3-70b-8192</option>
                                <option value="groq/llama3-8b-8192">groq/llama3-8b-8192</option>
                                <option value="openai/gpt-4-turbo">gpt-4-turbo</option>
                                <option value="openai/gpt-3.5-turbo">gpt-3.5-turbo</option>
                                <option value="anthropic/claude-3-haiku-20240307">claude-3-haiku</option>
                                <option value="anthropic/claude-3-opus-20240229">claude-3-opus</option>
                                <option value="anthropic/claude-3-sonnet-20240229">claude-3-sonnet</option>
                            </select>
                        </div>
                        <div class="flex flex-col">
                            <label for="token-input" class="text-lime-500 font-bold text-xs">API Token</label>
                            <input
                                type="password"
                                id="token-input"
                                class="border border-zinc-700 rounded px-4 py-0 bg-zinc-900 text-lime-500"
                                placeholder="Enter Groq API token"
                                disabled
                            />
                        </div>
                        <div class="flex gap-3">
                            <div class="flex items-center gap-2">
                                <input type="checkbox" id="bypass-cache-checkbox" />
                                <label for="bypass-cache-checkbox" class="text-lime-500 font-bold">Bypass Cache</label>
                            </div>
                            <div class="flex items-center gap-2">
                                <input type="checkbox" id="extract-blocks-checkbox" checked />
                                <label for="extract-blocks-checkbox" class="text-lime-500 font-bold"
                                    >Extract Blocks</label
                                >
                            </div>
                            <button id="crawl-btn" class="bg-lime-600 text-black font-bold px-4 py-0 rounded">
                                Crawl
                            </button>
                        </div>
                    </div>

                    <div id="result" class=" ">
                        <div id="loading" class="hidden">
                            <p class="text-white">Loading... Please wait.</p>
                        </div>
                        <div class="tab-buttons flex gap-2">
                            <button
                                class="tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="json"
                            >
                                JSON
                            </button>
                            <button
                                class="tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="cleaned-html"
                            >
                                Cleaned HTML
                            </button>
                            <button
                                class="tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="markdown"
                            >
                                Markdown
                            </button>
                        </div>
                        <div class="tab-content code bg-zinc-900 p-2 rounded h-full border border-zinc-700 text-sm">
                            <pre class="h-full flex"><code id="json-result" class="language-json"></code></pre>
                            <pre
                                class="hidden h-full flex"
                            ><code id="cleaned-html-result" class="language-html"></code></pre>
                            <pre
                                class="hidden h-full flex"
                            ><code id="markdown-result" class="language-markdown"></code></pre>
                        </div>
                    </div>

                    <div id="code_help" class=" ">
                        <div class="tab-buttons flex gap-2">
                            <button
                                class="code-tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="curl"
                            >
                                cURL
                            </button>
                            <button
                                class="code-tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="library"
                            >
                                Python Library
                            </button>
                            <button
                                class="code-tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="python"
                            >
                                Python (Request)
                            </button>
                            <button
                                class="code-tab-btn px-4 py-1 text-sm bg-zinc-700 rounded-t text-lime-500"
                                data-tab="nodejs"
                            >
                                Node.js
                            </button>
                        </div>
                        <div class="tab-content result bg-zinc-900 p-2 rounded h-full border border-zinc-700 text-sm">
                            <pre class="h-full flex relative">
                                <code id="curl-code" class="language-bash"></code>
                                <button class="absolute top-2 right-2 bg-zinc-700 text-white px-2 py-1 rounded copy-btn" data-target="curl-code">Copy</button>
                            </pre>
                            <pre class="hidden h-full flex relative">
                                <code id="python-code" class="language-python"></code>
                                <button class="absolute top-2 right-2 bg-zinc-700 text-white px-2 py-1 rounded copy-btn" data-target="python-code">Copy</button>
                            </pre>
                            <pre class="hidden h-full flex relative">
                                <code id="nodejs-code" class="language-javascript"></code>
                                <button class="absolute top-2 right-2 bg-zinc-700 text-white px-2 py-1 rounded copy-btn" data-target="nodejs-code">Copy</button>
                            </pre>
                            <pre class="hidden h-full flex relative">
                                <code id="library-code" class="language-python"></code>
                                <button class="absolute top-2 right-2 bg-zinc-700 text-white px-2 py-1 rounded copy-btn" data-target="library-code">Copy</button>
                            </pre>
                        </div>
                    </div>
                </div>
            </div>
        </section>
        <section class="bg-zinc-900 text-zinc-300 p-6 px-20">
            <div class="grid grid-cols-2 gap-4 p-4 bg-zinc-900 text-lime-500">
                <!-- Step 1 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🌟 <strong>Welcome to the Crawl4ai Quickstart Guide! Let's dive into some web crawling fun!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">
                    First Step: Create an instance of WebCrawler and call the <code>warmup()</code> function.
                </div>
                <div>
                    <pre><code class="language-python">crawler = WebCrawler()
            crawler.warmup()</code></pre>
                </div>

                <!-- Step 2 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🧠 <strong>Understanding 'bypass_cache' and 'include_raw_html' parameters:</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">First crawl (caches the result):</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(url="https://www.nbcnews.com/business")</code></pre>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Second crawl (Force to crawl again):</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(url="https://www.nbcnews.com/business", bypass_cache=True)</code></pre>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Crawl result without raw HTML content:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(url="https://www.nbcnews.com/business", include_raw_html=False)</code></pre>
                </div>

                <!-- Step 3 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    📄
                    <strong
                        >The 'include_raw_html' parameter, when set to True, includes the raw HTML content in the
                        response. By default, it is set to True.</strong
                    >
                </div>
                <div class="bg-zinc-800 p-2 rounded">Set <code>always_by_pass_cache</code> to True:</div>
                <div>
                    <pre><code class="language-python">crawler.always_by_pass_cache = True</code></pre>
                </div>

                <!-- Step 4 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🧩 <strong>Let's add a chunking strategy: RegexChunking!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using RegexChunking:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(
                url="https://www.nbcnews.com/business",
                chunking_strategy=RegexChunking(patterns=["\n\n"])
            )</code></pre>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using NlpSentenceChunking:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(
                url="https://www.nbcnews.com/business",
                chunking_strategy=NlpSentenceChunking()
            )</code></pre>
                </div>

                <!-- Step 5 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🧠 <strong>Let's get smarter with an extraction strategy: CosineStrategy!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using CosineStrategy:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(
                url="https://www.nbcnews.com/business",
                extraction_strategy=CosineStrategy(word_count_threshold=10, max_dist=0.2, linkage_method="ward", top_k=3)
            )</code></pre>
                </div>

                <!-- Step 6 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🤖 <strong>Time to bring in the big guns: LLMExtractionStrategy without instructions!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using LLMExtractionStrategy without instructions:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(
                url="https://www.nbcnews.com/business",
                extraction_strategy=LLMExtractionStrategy(provider="openai/gpt-4o", api_token=os.getenv('OPENAI_API_KEY'))
            )</code></pre>
                </div>

                <!-- Step 7 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    📜 <strong>Let's make it even more interesting: LLMExtractionStrategy with instructions!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using LLMExtractionStrategy with instructions:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(
                url="https://www.nbcnews.com/business",
                extraction_strategy=LLMExtractionStrategy(
                    provider="openai/gpt-4o",
                    api_token=os.getenv('OPENAI_API_KEY'),
                    instruction="I am interested in only financial news"
                )
            )</code></pre>
                </div>

                <!-- Step 8 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🎯 <strong>Targeted extraction: Let's use a CSS selector to extract only H2 tags!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using CSS selector to extract H2 tags:</div>
                <div>
                    <pre><code class="language-python">result = crawler.run(
                url="https://www.nbcnews.com/business",
                css_selector="h2"
            )</code></pre>
                </div>

                <!-- Step 9 -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🖱️ <strong>Let's get interactive: Passing JavaScript code to click 'Load More' button!</strong>
                </div>
                <div class="bg-zinc-800 p-2 rounded">Using JavaScript to click 'Load More' button:</div>
                <div>
                    <pre><code class="language-python">js_code = """
            const loadMoreButton = Array.from(document.querySelectorAll('button')).find(button => button.textContent.includes('Load More'));
            loadMoreButton && loadMoreButton.click();
            """
            crawler_strategy = LocalSeleniumCrawlerStrategy(js_code=js_code)
            crawler = WebCrawler(crawler_strategy=crawler_strategy, always_by_pass_cache=True)
            result = crawler.run(url="https://www.nbcnews.com/business")</code></pre>
                </div>

                <!-- Conclusion -->
                <div class="col-span-2 bg-yellow-500 p-2 rounded text-zinc-900">
                    🎉
                    <strong
                        >Congratulations! You've made it through the Crawl4ai Quickstart Guide! Now go forth and crawl
                        the web like a pro! 🕸️</strong
                    >
                </div>
            </div>
        </section>
        <section class="bg-zinc-900 text-zinc-300 p-6 px-20">
            <h1 class="text-3xl font-bold mb-4">Installation 💻</h1>
            <p class="mb-4">
                There are two ways to use Crawl4AI: as a library in your Python projects or as a standalone local
                server.
            </p>

            <p class="mb-4">
                You can also try Crawl4AI in a Google Colab
                <a href="https://colab.research.google.com/drive/1wz8u30rvbq6Scodye9AGCw8Qg_Z8QGsk"
                    ><img
                        src="https://colab.research.google.com/assets/colab-badge.svg"
                        alt="Open In Colab"
                        style="display: inline-block; width: 100px; height: 20px"
                /></a>
            </p>

            <h2 class="text-2xl font-bold mb-2">Using Crawl4AI as a Library 📚</h2>
            <p class="mb-4">To install Crawl4AI as a library, follow these steps:</p>

            <ol class="list-decimal list-inside mb-4">
                <li class="mb-2">
                    Install the package from GitHub:
                    <pre
                        class="bg-zinc-800 p-4 rounded mt-2 text-zinc-100"
                    ><code>pip install git+https://github.com/unclecode/crawl4ai.git</code></pre>
                </li>
                <li class="mb-2">
                    Alternatively, you can clone the repository and install the package locally:
                    <pre
                        class="bg-zinc-800 p-4 rounded mt-2 text-zinc-100"
                    ><code  class = "language-python bash">virtualenv venv
source venv/bin/activate
git clone https://github.com/unclecode/crawl4ai.git
cd crawl4ai
pip install -e .
        </code></pre>
                </li>
                <li>
                    Import the necessary modules in your Python script:
                    <pre
                        class="bg-zinc-800 p-4 rounded mt-2 text-zinc-100"
                    ><code class = "language-python hljs">from crawl4ai.web_crawler import WebCrawler
from crawl4ai.chunking_strategy import *
from crawl4ai.extraction_strategy import *
import os

crawler = WebCrawler()

# Single page crawl
single_url = UrlModel(url='https://www.nbcnews.com/business', forced=False)
result = crawl4ai.fetch_page(
    url='https://www.nbcnews.com/business',
    word_count_threshold=5, # Minimum word count for a HTML tag to be considered as a worthy block
    chunking_strategy= RegexChunking( patterns = ["\\n\\n"]), # Default is RegexChunking
    extraction_strategy= CosineStrategy(word_count_threshold=10, max_dist=0.2, linkage_method='ward', top_k=3) # Default is CosineStrategy
    # extraction_strategy= LLMExtractionStrategy(provider= "openai/gpt-4o", api_token = os.getenv('OPENAI_API_KEY')),
    bypass_cache=False,
    extract_blocks =True, # Whether to extract semantical blocks of text from the HTML
    css_selector = "", # Eg: "div.article-body"
    verbose=True,
    include_raw_html=True, # Whether to include the raw HTML content in the response
)
print(result.model_dump())
        </code></pre>
                </li>
            </ol>
            <p class="mb-4">
                For more information about how to run Crawl4AI as a local server, please refer to the
                <a href="https://github.com/unclecode/crawl4ai" class="text-blue-400">GitHub repository</a>.
            </p>
            
        </section>

        <section class="bg-zinc-900 text-zinc-300 p-6 px-20">
            <h1 class="text-3xl font-bold mb-4">📖 Parameters</h1>
            <div class="overflow-x-auto">
                <table class="min-w-full bg-zinc-800 border border-zinc-700">
                    <thead>
                        <tr>
                            <th class="py-2 px-4 border-b border-zinc-700">Parameter</th>
                            <th class="py-2 px-4 border-b border-zinc-700">Description</th>
                            <th class="py-2 px-4 border-b border-zinc-700">Required</th>
                            <th class="py-2 px-4 border-b border-zinc-700">Default Value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">urls</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                A list of URLs to crawl and extract data from.
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">Yes</td>
                            <td class="py-2 px-4 border-b border-zinc-700">-</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">include_raw_html</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                Whether to include the raw HTML content in the response.
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">false</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">bypass_cache</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                Whether to force a fresh crawl even if the URL has been previously crawled.
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">false</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">extract_blocks</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                Whether to extract semantical blocks of text from the HTML.
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">true</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">word_count_threshold</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                The minimum number of words a block must contain to be considered meaningful (minimum
                                value is 5).
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">5</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">extraction_strategy</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                The strategy to use for extracting content from the HTML (e.g., "CosineStrategy").
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">CosineStrategy</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">chunking_strategy</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                The strategy to use for chunking the text before processing (e.g., "RegexChunking").
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">RegexChunking</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4 border-b border-zinc-700">css_selector</td>
                            <td class="py-2 px-4 border-b border-zinc-700">
                                The CSS selector to target specific parts of the HTML for extraction.
                            </td>
                            <td class="py-2 px-4 border-b border-zinc-700">No</td>
                            <td class="py-2 px-4 border-b border-zinc-700">None</td>
                        </tr>
                        <tr>
                            <td class="py-2 px-4">verbose</td>
                            <td class="py-2 px-4">Whether to enable verbose logging.</td>
                            <td class="py-2 px-4">No</td>
                            <td class="py-2 px-4">true</td>
                        </tr>
                    </tbody>
                </table>
            </div>
        </section>

        <section id="extraction" class="py-8 px-20">
            <div class="overflow-x-auto mx-auto px-6">
                <h2 class="text-2xl font-bold mb-4">Extraction Strategies</h2>
                <div id="extraction-strategies" class="space-y-4"></div>
            </div>
        </section>

        <section id="chunking" class="py-8 px-20">
            <div class="overflow-x-auto mx-auto px-6">
                <h2 class="text-2xl font-bold mb-4">Chunking Strategies</h2>
                <div id="chunking-strategies" class="space-y-4"></div>
            </div>
        </section>

        <section class="hero bg-zinc-900 py-8 px-20">
            <div class="container mx-auto px-4">
                <h2 class="text-3xl font-bold mb-4">🤔 Why building this?</h2>
                <p class="text-lg mb-4">
                    In recent times, we've witnessed a surge of startups emerging, riding the AI hype wave and charging
                    for services that should rightfully be accessible to everyone. 🌍💸 One such example is scraping and
                    crawling web pages and transforming them into a format suitable for Large Language Models (LLMs).
                    🕸️🤖 We believe that building a business around this is not the right approach; instead, it should
                    definitely be open-source. 🆓🌟 So, if you possess the skills to build such tools and share our
                    philosophy, we invite you to join our "Robinhood" band and help set these products free for the
                    benefit of all. 🤝💪
                </p>
            </div>
        </section>

        <section class="installation py-8 px-20">
            <div class="container mx-auto px-4">
                <h2 class="text-2xl font-bold mb-4">⚙️ Installation</h2>
                <p class="mb-4">
                    To install and run Crawl4AI as a library or a local server, please refer to the 📚
                    <a href="https://github.com/unclecode/crawl4ai" class="text-blue-400">GitHub repository</a>.
                </p>
            </div>
        </section>

        <footer class="bg-zinc-900 text-white py-4">
            <div class="container mx-auto px-4">
                <div class="flex justify-between items-center">
                    <p>© 2024 Crawl4AI. All rights reserved.</p>
                    <div class="social-links">
                        <a
                            href="https://github.com/unclecode/crawl4ai"
                            class="text-white hover:text-gray-300 mx-2"
                            target="_blank"
                            >😺 GitHub</a
                        >
                        <a
                            href="https://twitter.com/unclecode"
                            class="text-white hover:text-gray-300 mx-2"
                            target="_blank"
                            >🐦 Twitter</a
                        >
                    </div>
                </div>
            </div>
        </footer>

        <script>
            // JavaScript to manage dynamic form changes and logic
            document.getElementById("extraction-strategy-select").addEventListener("change", function () {
                const strategy = this.value;
                const providerModelSelect = document.getElementById("provider-model-select");
                const tokenInput = document.getElementById("token-input");

                if (strategy === "LLMExtractionStrategy") {
                    providerModelSelect.disabled = false;
                    tokenInput.disabled = false;
                } else {
                    providerModelSelect.disabled = true;
                    tokenInput.disabled = true;
                }
            });

            // Get the selected provider model and token from local storage
            const storedProviderModel = localStorage.getItem("provider_model");
            const storedToken = localStorage.getItem(storedProviderModel);

            if (storedProviderModel) {
                document.getElementById("provider-model-select").value = storedProviderModel;
            }

            if (storedToken) {
                document.getElementById("token-input").value = storedToken;
            }

            // Handle provider model dropdown change
            document.getElementById("provider-model-select").addEventListener("change", () => {
                const selectedProviderModel = document.getElementById("provider-model-select").value;
                const storedToken = localStorage.getItem(selectedProviderModel);

                if (storedToken) {
                    document.getElementById("token-input").value = storedToken;
                } else {
                    document.getElementById("token-input").value = "";
                }
            });

            // Fetch total count from the database
            axios
                .get("/total-count")
                .then((response) => {
                    document.getElementById("total-count").textContent = response.data.count;
                })
                .catch((error) => console.error(error));

            // Handle crawl button click
            document.getElementById("crawl-btn").addEventListener("click", () => {
                // validate input to have both URL and API token
                if (!document.getElementById("url-input").value || !document.getElementById("token-input").value) {
                    alert("Please enter both URL(s) and API token.");
                    return;
                }

                const selectedProviderModel = document.getElementById("provider-model-select").value;
                const apiToken = document.getElementById("token-input").value;
                const extractBlocks = document.getElementById("extract-blocks-checkbox").checked;
                const bypassCache = document.getElementById("bypass-cache-checkbox").checked;

                // Save the selected provider model and token to local storage
                localStorage.setItem("provider_model", selectedProviderModel);
                localStorage.setItem(selectedProviderModel, apiToken);

                const urlsInput = document.getElementById("url-input").value;
                const urls = urlsInput.split(",").map((url) => url.trim());
                const data = {
                    urls: urls,
                    provider_model: selectedProviderModel,
                    api_token: apiToken,
                    include_raw_html: true,
                    bypass_cache: bypassCache,
                    extract_blocks: extractBlocks,
                    word_count_threshold: parseInt(document.getElementById("threshold").value),
                    extraction_strategy: document.getElementById("extraction-strategy-select").value,
                    chunking_strategy: document.getElementById("chunking-strategy-select").value,
                    css_selector: document.getElementById("css-selector").value,
                    verbose: true,
                };

                // save api token to local storage
                localStorage.setItem("api_token", document.getElementById("token-input").value);

                document.getElementById("loading").classList.remove("hidden");
                //document.getElementById("result").classList.add("hidden");
                //document.getElementById("code_help").classList.add("hidden");

                axios
                    .post("/crawl", data)
                    .then((response) => {
                        const result = response.data.results[0];
                        const parsedJson = JSON.parse(result.extracted_content);
                        document.getElementById("json-result").textContent = JSON.stringify(parsedJson, null, 2);
                        document.getElementById("cleaned-html-result").textContent = result.cleaned_html;
                        document.getElementById("markdown-result").textContent = result.markdown;

                        // Update code examples dynamically
                        const extractionStrategy = data.extraction_strategy;
                        const isLLMExtraction = extractionStrategy === "LLMExtractionStrategy";

                        document.getElementById(
                            "curl-code"
                        ).textContent = `curl -X POST -H "Content-Type: application/json" -d '${JSON.stringify({
                            ...data,
                            api_token: isLLMExtraction ? "your_api_token" : undefined,
                        })}' http://crawl4ai.uccode.io/crawl`;

                        document.getElementById(
                            "python-code"
                        ).textContent = `import requests\n\ndata = ${JSON.stringify(
                            { ...data, api_token: isLLMExtraction ? "your_api_token" : undefined },
                            null,
                            2
                        )}\n\nresponse = requests.post("http://crawl4ai.uccode.io/crawl", json=data) # OR local host if your run locally \nprint(response.json())`;

                        document.getElementById(
                            "nodejs-code"
                        ).textContent = `const axios = require('axios');\n\nconst data = ${JSON.stringify(
                            { ...data, api_token: isLLMExtraction ? "your_api_token" : undefined },
                            null,
                            2
                        )};\n\naxios.post("http://crawl4ai.uccode.io/crawl", data) // OR local host if your run locally \n    .then(response => console.log(response.data))\n    .catch(error => console.error(error));`;

                        document.getElementById(
                            "library-code"
                        ).textContent = `from crawl4ai.web_crawler import WebCrawler\nfrom crawl4ai.extraction_strategy import *\nfrom crawl4ai.chunking_strategy import *\n\ncrawler = WebCrawler()\ncrawler.warmup()\n\nresult = crawler.run(\n    url='${
                            urls[0]
                        }',\n    word_count_threshold=${data.word_count_threshold},\n    extraction_strategy=${
                            isLLMExtraction
                                ? `${extractionStrategy}(provider="${data.provider_model}", api_token="${data.api_token}")`
                                : extractionStrategy + "()"
                        },\n    chunking_strategy=${data.chunking_strategy}(),\n    bypass_cache=${
                            data.bypass_cache
                        },\n    css_selector="${data.css_selector}"\n)\nprint(result)`;

                        // Highlight code syntax
                        hljs.highlightAll();

                        // Select JSON tab by default
                        document.querySelector('.tab-btn[data-tab="json"]').click();

                        document.getElementById("loading").classList.add("hidden");
                        document.getElementById("result").classList.remove("hidden");
                        document.getElementById("code_help").classList.remove("hidden");

                        // increment the total count
                        document.getElementById("total-count").textContent =
                            parseInt(document.getElementById("total-count").textContent) + 1;
                    })
                    .catch((error) => {
                        console.error(error);
                        document.getElementById("loading").classList.add("hidden");
                    });
            });

            // Handle tab clicks
            document.querySelectorAll(".tab-btn").forEach((btn) => {
                btn.addEventListener("click", () => {
                    const tab = btn.dataset.tab;
                    document
                        .querySelectorAll(".tab-btn")
                        .forEach((b) => b.classList.remove("bg-lime-700", "text-white"));
                    btn.classList.add("bg-lime-700", "text-white");
                    document.querySelectorAll(".tab-content.code pre").forEach((el) => el.classList.add("hidden"));
                    document.getElementById(`${tab}-result`).parentElement.classList.remove("hidden");
                });
            });

            // Handle code tab clicks
            document.querySelectorAll(".code-tab-btn").forEach((btn) => {
                btn.addEventListener("click", () => {
                    const tab = btn.dataset.tab;
                    document
                        .querySelectorAll(".code-tab-btn")
                        .forEach((b) => b.classList.remove("bg-lime-700", "text-white"));
                    btn.classList.add("bg-lime-700", "text-white");
                    document.querySelectorAll(".tab-content.result pre").forEach((el) => el.classList.add("hidden"));
                    document.getElementById(`${tab}-code`).parentElement.classList.remove("hidden");
                });
            });

            // Handle copy to clipboard button clicks

            async function copyToClipboard(text) {
                if (navigator.clipboard && navigator.clipboard.writeText) {
                    return navigator.clipboard.writeText(text);
                } else {
                    return fallbackCopyTextToClipboard(text);
                }
            }

            function fallbackCopyTextToClipboard(text) {
                return new Promise((resolve, reject) => {
                    const textArea = document.createElement("textarea");
                    textArea.value = text;

                    // Avoid scrolling to bottom
                    textArea.style.top = "0";
                    textArea.style.left = "0";
                    textArea.style.position = "fixed";

                    document.body.appendChild(textArea);
                    textArea.focus();
                    textArea.select();

                    try {
                        const successful = document.execCommand("copy");
                        if (successful) {
                            resolve();
                        } else {
                            reject();
                        }
                    } catch (err) {
                        reject(err);
                    }

                    document.body.removeChild(textArea);
                });
            }

            document.querySelectorAll(".copy-btn").forEach((btn) => {
                btn.addEventListener("click", () => {
                    const target = btn.dataset.target;
                    const code = document.getElementById(target).textContent;
                    //navigator.clipboard.writeText(code).then(() => {
                    copyToClipboard(code).then(() => {
                        btn.textContent = "Copied!";
                        setTimeout(() => {
                            btn.textContent = "Copy";
                        }, 2000);
                    });
                });
            });

            document.addEventListener("DOMContentLoaded", async () => {
                try {
                    const extractionResponse = await fetch("/strategies/extraction");
                    const extractionStrategies = await extractionResponse.json();

                    const chunkingResponse = await fetch("/strategies/chunking");
                    const chunkingStrategies = await chunkingResponse.json();

                    renderStrategies("extraction-strategies", extractionStrategies);
                    renderStrategies("chunking-strategies", chunkingStrategies);
                } catch (error) {
                    console.error("Error fetching strategies:", error);
                }
            });

            function renderStrategies(containerId, strategies) {
                const container = document.getElementById(containerId);
                container.innerHTML = ""; // Clear any existing content
                strategies = JSON.parse(strategies);
                Object.entries(strategies).forEach(([strategy, description]) => {
                    const strategyElement = document.createElement("div");
                    strategyElement.classList.add("bg-zinc-800", "p-4", "rounded", "shadow-md", "docs-item");

                    const strategyDescription = document.createElement("div");
                    strategyDescription.classList.add("text-gray-300", "prose", "prose-sm");
                    strategyDescription.innerHTML = marked.parse(description);

                    strategyElement.appendChild(strategyDescription);

                    container.appendChild(strategyElement);
                });
            }

            // Highlight code syntax
            hljs.highlightAll();
        </script>
    </body>
</html>
